NeoProphet
Prophet forecasting that is easier to use, clearer to read and faster at scale.
NeoProphet is a drop-in fork of Facebook Prophet with a one-call API, self-explaining charts, built-in tuning and an experimental Apple Silicon GPU backend for fitting many series at once.
Install
pip install neoprophet # or: uv add neoprophet
pip install "neoprophet[mlx]" # adds the MLX backend on Apple Silicon
NeoProphet installs the prophet import package, so it replaces upstream Prophet: uninstall prophet first and do not install both in one environment. Wheels include the compiled Stan model for macOS (Intel and Apple Silicon), Linux (x86-64 and ARM64) and Windows.
Quick start
import pandas as pd
from prophet import forecast
df = pd.read_csv("https://raw.githubusercontent.com/CodeWithBehnam/NeoProphet/main/examples/example_wp_log_peyton_manning.csv")
result = forecast(df, horizon="12 months", country_holidays="US")
result.forecast # ds, yhat, yhat_lower, yhat_upper for the future
result.plot() # the chart above
result.plot_components() # trend, holidays, weekly and yearly patterns
forecast(..., tune=True)chooses the prior scales and seasonality mode by parallel cross-validation.prophet.mlx_backend.fit_many(dfs)fits many series in one batch on an Apple Silicon GPU (experimental; linear and flat growth, MAP only).- The classic API is unchanged:
from prophet import Prophetworks as before.
Links
- Source, benchmarks and notebooks: https://github.com/CodeWithBehnam/NeoProphet
- Issues: https://github.com/CodeWithBehnam/NeoProphet/issues
- Upstream Prophet documentation: https://facebook.github.io/prophet/
- Paper: Taylor and Letham (2018), Forecasting at Scale, The American Statistician 72(1):37-45.
Released under the MIT licence. Prophet was created by Sean J. Taylor and Ben Letham at Facebook.
1 maintainer
Metadata
1 maintainer
Release files for neoprophet 1.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neoprophet-1.5.1.tar.gz | 219.7 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| neoprophet-1.5.1-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| neoprophet-1.5.1-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| neoprophet-1.5.1-py3-none-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl | Python 3 | none | Linux glibc 2.28+ ARM64, Linux glibc 2.26+ ARM64 | Details |
| neoprophet-1.5.1-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details |
| neoprophet-1.5.1-py3-none-macosx_10_11_x86_64.whl | Python 3 | none | macOS 10.11+ x86-64 | Details |
Total release size: 61.5 MB
Release files / neoprophet-1.5.1.tar.gz
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| Size | 219.7 kB |
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